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The conceptual data model does not tell how the information is actually structured or modeled. From the framework perspective the concepts are recognized as something which is needed to make data flow smoothly among processes.
Analytics Data flow
Data flow model in the Compleap project illustrates how data flows in the Compleap user services. Information about formal education, previous work history is gathered automatically from other systems and databases. Information about non formal and informal education as well as interests comes from the manual user (learner) input. Specific data set is extracted and used as a data combination to visualize competences for the user and at the same time stimulate his reflection on his current competence situation. User can also manually select data combination and filters to get a education recommendation. This is content based recommendation. 10 best results are presented to the user where he can further select his favorites and proceed to learners path visualization where information about education option is visualized for the user again to promote his understanding of the studying and also self-reflection. User is also able to give feedback about competence and learners path visualizations as well as education recommendations.
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